metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: infoquality
results: []
infoquality
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0015
- Accuracy: 1.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.01 | 10 | 0.4780 | 0.96 |
| No log | 0.02 | 20 | 0.1759 | 0.965 |
| No log | 0.03 | 30 | 0.0477 | 0.995 |
| No log | 0.04 | 40 | 0.1199 | 0.95 |
| No log | 0.05 | 50 | 0.0413 | 0.99 |
| No log | 0.06 | 60 | 0.0068 | 1.0 |
| No log | 0.07 | 70 | 0.0056 | 1.0 |
| No log | 0.08 | 80 | 0.0220 | 0.995 |
| No log | 0.09 | 90 | 0.0081 | 1.0 |
| No log | 0.1 | 100 | 0.0074 | 0.995 |
| No log | 0.11 | 110 | 0.0035 | 1.0 |
| No log | 0.12 | 120 | 0.0030 | 1.0 |
| No log | 0.13 | 130 | 0.0022 | 1.0 |
| No log | 0.14 | 140 | 0.0024 | 1.0 |
| No log | 0.15 | 150 | 0.0021 | 1.0 |
| No log | 0.16 | 160 | 0.0016 | 1.0 |
| No log | 0.17 | 170 | 0.0016 | 1.0 |
| No log | 0.18 | 180 | 0.0016 | 1.0 |
| No log | 0.19 | 190 | 0.0015 | 1.0 |
| No log | 0.2 | 200 | 0.0015 | 1.0 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3